Big Data Solutions Architect
2 days ago
DISH is seeking a highly skilled Big Data Solutions Architect to join our team. As a key member of our Technology department, you will play a vital role in designing and implementing cutting-edge data solutions that drive business growth and innovation.
Key Responsibilities- Design and deploy enterprise-ready data solutions leveraging Data Warehouse, Big Data, and Machine Learning frameworks.
- Optimize data engineering and machine learning pipelines to ensure efficient data processing and analysis.
- Review architectural designs to ensure consistency and alignment with our defined target architecture and adherence to established architecture standards.
- Support data and cloud transformation initiatives to drive business growth and innovation.
- Contribute to our cloud strategy based on prior experience and knowledge of the latest technologies.
- Independently work with stakeholders across the organization to deliver point and strategic solutions.
- Assist solution providers with the definition and implementation of technical and business strategies.
- Bachelor's Degree in a technical field.
- 12+ years of experience working as a Data Warehouse/Big Data Architect.
- Experience in AWS cloud transformation projects is required.
- Telecommunication domain experience is preferred.
- AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloudwatch, and Data Pipeline.
- Advanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting.
- Logical & physical table design in Big Data environments to suit processing frameworks.
- Functional programming and Spark SQL programming dealing with processing terabytes of data.
- Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage.
- Advanced SQL experience including SQL performance tuning is a must.
- Big data frameworks such as MapReduce, HDFS, Hive/Impala, AWS Athena.
- Knowledge of using, setting up, and tuning resource management frameworks such as Yarn, Mesos, or standalone spark.
- Knowledge in a variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/Postgres, MongoDB.
Compensation: $146,300.00/Year - $209,000.00/Year
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan.
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